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GitHub / guilhermedom / correlation-matrix-for-regression

Demonstration of how to use correlation matrices to pick the best variables for polynomial regression.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guilhermedom%2Fcorrelation-matrix-for-regression

Stars: 0
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 198 KB
Dependencies parsed at: Pending

Created at: almost 3 years ago
Updated at: over 2 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago

Topics: correlation-matrix, feature-selection, polynomial-features, polynomial-regression, regression-model

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